Senior Strategy and Business Operations Manager

Zillow

5d•$120,700 - $203,000•Remote

About The Position

The Agent Software and Advertising organization at Zillow Group is seeking a talented individual to join their Business Strategy and Operations team. This role will drive reporting, analytics, insights, and strategic initiatives for Media, Marketing, and Listings offerings. The position is at the intersection of technology, data, and real estate, generating analytical insights to power business decisions and optimize products and services. The team embodies Zillow’s core values and plays a substantial role in the organization’s success, shaping the future of real estate technology. As a Senior Strategy & Business Operations Manager, you will be the primary analyst and business intelligence owner for Listings, Marketing, and Media products. You will combine deep technical skill with strong business judgment to turn complex data into clear, actionable insights. You will collaborate with Strategy, Go-To-Market, Product, Data Science, Finance, and Marketing teams to understand business performance, unpack drivers and optimization levers, and inform business decisions. This role is categorized as Remote.

Requirements

Bachelor’s degree in a quantitative field (e.g., Economics, Statistics, Mathematics, Computer Science, Data Science, or related field)
7+ years of experience in business analytics, business intelligence, or similar roles
SQL proficiency, with demonstrated ability to work with complex, large-scale datasets
Hands-on experience building and maintaining dashboards in Tableau or a comparable BI tool
Proficiency working in cloud data platforms (preferably Databricks)
Strong analytical skills, with a track record of translating data into clear insights and influencing decisions with cross-functional stakeholders
Seasoned SQL practitioner, capable of writing complex queries across large-scale datasets to answer novel business questions without depending on others for data access or preparation
Hands-on experience building polished, production-quality dashboards in Tableau (or a comparable BI tool) trusted by executive and cross-functional audiences
Comfortable working in cloud data platforms (Databricks or similar) to explore, manipulate, and model large datasets
Proven ability to design and execute structured analyses from scratch—from framing the question through methodology, execution, and storytelling
Strong business judgment: you don’t just answer the question asked, you surface the insight that matters and connect it to decisions
Experience building and owning performance metric frameworks, including defining KPIs, building forecasting models, and identifying the drivers behind business outcomes
Demonstrated ability to translate complex quantitative findings into concise, compelling narratives for non-technical stakeholders and senior leadership
Comfortable presenting findings and recommendations in executive forums and driving alignment across cross-functional teams without direct authority
Proven ability to work effectively across diverse teams as a trusted analytical partner
Able to flex between deep-dive analysis and higher-level strategic advisory depending on what the situation demands

Nice To Haves

MBA or advanced degree in a quantitative field
Experience in technology, marketplace, real estate, media, and/or advertising companies
Experience building metric frameworks, performance forecasting models, and executive-facing business review reporting

Responsibilities

Own the end-to-end performance reporting framework, defining and maintaining the metrics that tracks business health and progress against goals
Build, maintain, evolve, and shape dashboards and reporting infrastructure, ensuring stakeholders have accurate, timely visibility into key performance indicators, and proactively identifying and raising risks and opportunities in the business
Design and execute ad-hoc analyses to answer critical business questions—diagnosing performance anomalies, surfacing underlying drivers, sizing opportunities, and stress-testing assumptions
Build and maintain business performance forecasts, translating leading indicators and historical trends into forward-looking projections that support planning and forecasting processes
Synthesize complex quantitative findings into clear, executive-ready narratives that drive alignment and decisions across cross-functional stakeholders
Partner closely with Data Engineering, Data Science, and Product Analytics teams to ensure data infrastructure, definitions, and pipelines support the team’s analytical needs
Identify gaps in current measurement approaches and proactively develop new frameworks to track emerging products and initiatives
Orchestrate collaboration across Product, Data Science/Data Engineering, Finance, Marketing, Sales, and Customer Experience teams to ensure data and insights are connected to strategy and execution